PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 18, 2026Biopolymers0 citationsOpen Access

From Synthesis to Therapeutics: Bioactive‐Coated Zein Nanoparticles in Drug Delivery

View Full Paper
MLMilena Ferreira de LimaAHAndy Joel Taipe HuisaANA. F. Da Silva Neto

Key Points

  • The aim is to review the potential of bioactive-coated zein nanoparticles as drug carriers in nanomedicine.
  • Reviewed synthesis methods for zein nanoparticles
  • Analyzed coating materials for improved stability
  • Discussed biological activities and therapeutic applications
  • Antisolvent method is the most common for nanoparticle synthesis
  • Chitosan is identified as the preferred coating material
  • Zein nanoparticles demonstrate various biological activities, including antioxidant and anticancer properties

Abstract

Polymeric zein nanoparticles (ZNP), derived from corn protein, are biodegradable drug carriers with high stability and low synthesis costs. Their amphiphilic nature allows efficient encapsulation of both hydrophilic and lipophilic drugs, making them promising for drug delivery. However, their instability under physiological pH can limit therapeutic efficacy, necessitating protective coatings for improved absorption. This review discusses synthesis methods, coating materials, and biological activities of bioactive-coated ZNP. We found that the antisolvent method is the most commonly used due to its simplicity and cost-effectiveness, while chitosan is the preferred coating material. ZNP exhibit antioxidant, anticancer, anesthetic, antidiabetic, hypoglycemic, and immunogenic properties, as demonstrated in both in vitro and in vivo studies. Their ability to enhance bioavailability, reduce toxicity, and enable targeted drug delivery highlights their potential in nanomedicine.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Lima et al. (2026) studied this question.

synapsesocial.com/papers/69ba434a4e9516ffd37a460chttps://doi.org/10.1002/bip.70088
Ask AI
Helpful
Bookmark
Share
View Full Paper